Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
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Article Number | 04036 | |
Number of page(s) | 4 | |
Section | Part 4: Equipment manufacturing and New materials | |
DOI | https://doi.org/10.1051/matecconf/201710004036 | |
Published online | 08 March 2017 |
Relationship on the Price Sensitivity and Actual Market Acceptance Degree of Metallic Materials
1 School of Management, Wuhan University of Technology, Wuhan, China, 430074
2 School of Engineering, University of Florida, Gainesville, FL, US
* Corresponding author: jmuxue@126.com
In order to find out the relationship between the price sensitivity and actual market acceptance degree of metallic materials, the database ensemble learning model is proposed in this paper. Due to the variety and class imbalance of customers, a database marketing model based on supervised clustering and ensemble learning is used for the model. The results show that the database ensemble learning model can thus improve the calculation accuracy and time-efficiency substantially.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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